@@ -11906,6 +11906,50 @@ (define-public r-nestedcv
of prediction methods available in @code{caret}.")
(license license:expat)))
+(define-public r-netid
+ (let ((commit "6ad1ffdd64a6584cc1d392524dad8e248d4590a8")
+ (revision "1"))
+ (package
+ (name "r-netid")
+ (version (git-version "0.1.0" revision commit))
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/WWXkenmo/NetID_package")
+ (commit commit)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32 "1blm5ljql91xmbyxxwm3vw8iz8d4ir9gm7wfnapqhfdbjvg4l21q"))))
+ (properties `((upstream-name . "NetID")))
+ (build-system r-build-system)
+ (propagated-inputs (list r-doparallel
+ r-dorng
+ r-glmnet
+ r-hmisc
+ r-igraph
+ r-irlba
+ r-lmtest
+ r-matrix
+ r-mclust
+ r-pracma
+ r-raceid
+ r-rarpack
+ r-reticulate
+ r-robustrankaggreg
+ r-rsvd
+ r-seurat))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/WWXkenmo/NetID_package")
+ (synopsis
+ "Scalable method to infer fate-specific networks from single-cell data")
+ (description
+ "This package provides a method to sample cells from single-cell data.
+It also generates an aggregate profile on a pruned K-Nearest Neighbor graph.
+This approach leads to an improved gene expression profile for quantifying
+gene regulations.")
+ (license license:expat))))
+
(define-public r-network
(package
(name "r-network")